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ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
High dynamic range (HDR) imaging provides the capability of handling real world lighting as opposed to the traditional low dynamic range (LDR) which struggles to accurately represent images with higher dynamic range. ...
PCPNet: Learning Local Shape Properties from Raw Point Clouds
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
In this paper, we propose PCPNET, a deep-learning based approach for estimating local 3D shape properties in point clouds. In contrast to the majority of prior techniques that concentrate on global or mid-level attributes, ...
Deep Joint Design of Color Filter Arrays and Demosaicing
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
We present a convolutional neural network architecture for performing joint design of color filter array (CFA) patterns and demosaicing. Our generic model allows the training of CFAs of arbitrary sizes, optimizing each ...
Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Procedural models are a powerful tool for quickly creating a variety of computer graphics content. However, authoring them is challenging, requiring both programming and artistic expertise. In this paper, we present a ...
Deep Adaptive Sampling for Low Sample Count Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Recently, deep learning approaches have proven successful at removing noise from Monte Carlo (MC) rendered images at extremely low sampling rates, e.g., 1-4 samples per pixel (spp). While these methods provide dramatic ...
Generative Adversarial Image Super-Resolution Through Deep Dense Skip Connections
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Recently, image super-resolution works based on Convolutional Neural Networks (CNNs) and Generative Adversarial Nets (GANs) have shown promising performance. However, these methods tend to generate blurry and over-smoothed ...
Few-shot Learning of Homogeneous Human Locomotion Styles
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Using neural networks for learning motion controllers from motion capture data is becoming popular due to the natural and smooth motions they can produce, the wide range of movements they can learn and their compactness ...
Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Controlling stroke size in Fast Style Transfer remains a difficult task. So far, only a few attempts have been made towards it, and they still exhibit several deficiencies regarding efficiency, flexibility, and diversity. ...
Automatic Mechanism Modeling from a Single Image with CNNs
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
This paper presents a novel system that enables a fully automatic modeling of both 3D geometry and functionality of a mechanism assembly from a single RGB image. The resulting 3D mechanism model highly resembles the one ...
Modeling Fonts in Context: Font Prediction on Web Designs
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Web designers often carefully select fonts to fit the context of a web design to make the design look aesthetically pleasing and effective in communication. However, selecting proper fonts for a web design is a tedious and ...